Calibration of a soft secondary vertex tagger using proton-proton collisions at Formula Presented with the ATLAS detector

ATLAS Collaboration

doi:10.1103/PhysRevD.110.032015

Calibration of a soft secondary vertex tagger using proton-proton collisions at Formula Presented with the ATLAS detector

ATLAS Collaboration

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

Abstract

Several processes studied by the ATLAS experiment at the Large Hadron Collider produce low-momentum Formula Presented-flavored hadrons in the final state. This paper describes the calibration of a dedicated tagging algorithm that identifies Formula Presented-flavored hadrons outside of hadronic jets by reconstructing the soft secondary vertices originating from their decays. The calibration is based on a proton-proton collision dataset at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of Formula Presented. Scale factors used to correct the algorithm’s performance in simulated events are extracted for the Formula Presented-tagging efficiency and the mistag rate of the algorithm using a data sample enriched in Formula Presented events. Several orthogonal measurement regions are defined, binned as a function of the multiplicities of soft secondary vertices and jets containing a Formula Presented-flavored hadron in the event. The mistag rate scale factors are estimated separately for events with low and high average numbers of interactions per bunch crossing. The results, which are derived from events with low missing transverse momentum, are successfully validated in a phase space characterized by high missing transverse momentum and therefore are applicable to new physics searches carried out in either phase space regime.

Original language	English
Article number	032015
Journal	Physical Review D
Volume	110
Issue number	3
DOIs	https://doi.org/10.1103/PhysRevD.110.032015
State	Published - 1 Aug 2024

Funding

Funders	Funder number
BSF-NSF
Australian Research Council
DRAC
La Caixa Banking Foundation
Centre National pour la Recherche Scientifique et Technique
Fundação para a Ciência e a Tecnologia
European Union, Future Artificial Intelligence Research
Cooperative Research Centres, Australian Government Department of Industry
National Science Foundation
CEA-DRF
Science and Technology Facilities Council
Horizon 2020, ICSC-NextGenerationEU
H2020 Marie Skłodowska-Curie Actions
INFN-CNAF
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Wallenberg Foundation
Leverhulme Trust
Baden-Württemberg Stiftung
PROMETEO
Neubauer Family Foundation
Staatssekretariat für Bildung, Forschung und Innovation
Javna Agencija za Raziskovalno Dejavnost RS
Generalitat de Catalunya
Instituto Nazionale di Fisica Nucleare
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Austrian Science Fund
Agencia Nacional de Investigación y Desarrollo
Bundesministerium für Bildung und Forschung
Helmholtz-Gemeinschaft
Danmarks Grundforskningsfond
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Forskningsrådet om Hälsa, Arbetsliv och Välfärd
Karlsruhe Institute of Technology
Canarie
GridKA
Horizon 2020 Framework Programme
Göran Gustafssons Stiftelser
MIZŠ
European Commission
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
European Cooperation in Science and Technology
EU-ESF
International Council of Shopping Centers
RGC
Fundação de Amparo à Pesquisa do Estado de São Paulo
Institutul de Fizică Atomică
Natural Sciences and Engineering Research Council of Canada
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
GenT Programmes Generalitat Valenciana, Spain
Irish Rugby Football Union
Cantons of Bern and Geneva
Chinese Academy of Sciences
Defence Science Institute
MNE
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
Minerva Foundation
CERN-CZ
National Research Foundation
Ministerstwo Edukacji i Nauki
Generalitat Valenciana
CERN
National Research Council Canada
Brookhaven National Laboratory
Alexander von Humboldt-Stiftung
Multiple Sclerosis Scientific Research Foundation
Caring Futures Institute, Flinders University
British Columbia Knowledge Development Fund
Ministry of Education, Culture, Sports, Science and Technology
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung	RPG-2020-004, NIF-R1-231091, SNSF—PCEFP2_194658
Norges Forskningsråd	RCN-314472
GenT Programmes Generalitat Valenciana	CIDEGENT/2019/023, CIDEGENT/2019/027
MICIN	PID2021-125273NB, RYC2021-031273-I, RYC2022-038164-I, RYC2020-030254-I, RYC2019-028510-I
European Regional Development Fund	IDIFEDER/2018/048
U.S. Department of Energy	ECA DE-AC02-76SF00515
Center for Advancing Research Impact in Society	J1-3010
European Research Council	ERC-948254, ERC-101089007
NDGF	CC-IN2P3
Ministerstvo Školství, Mládeže a Tělovýchovy	PRIMUS/21/SCI/017, CZ.02.01.01/00/22_008/0004632
DNSRC	IN2P3-CNRS
Norwegian Financial Mechanism	2014-2021
Vetenskapsrådet	2021-03651, VR 2018-00482, VR 2022-04683, VR 2023-03403, VR 2022-03845, 2023-04654
Japan Society for the Promotion of Science	JP21H05085, JP22H04944, JP22H01227, JP22KK0227
Agence Nationale de la Recherche	ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022
H2020 European Research Council	ERC-101002463
MUCCA	CHIST-ERA-19-XAI-00
Narodowe Centrum Nauki	UMO-2022/47/O/ST2/00148, UMO-2020/37/B/ST2/01043, UMO-2019/34/E/ST2/00393, 2022/47/B/ST2/03059, 2021/42/E/ST2/00350, UMO-2021/40/C/ST2/00187, UMO-2023/49/B/ST2/04085
Deutsche Forschungsgemeinschaft	DFG-469666862, DFG-CR 312/5-2
Fondo Nacional de Desarrollo Científico y Tecnológico	1230987, 1230812, 1190886
Knut och Alice Wallenbergs Stiftelse	KAW 2022.0358, KAW 2018.0157, KAW 2018.0458, KAW 2019.0447
Narodowa Agencja Wymiany Akademickiej	PPN/PPO/2020/1/00002/U/00001
National Natural Science Foundation of China	NSFC-12175119, NSFC-12275265, NSFC-12075060
Ministry of Science and Technology of the People's Republic of China	MOST-2023YFA1605700
Investissements d’Avenir Labex	ANR-11-LABX-0012
FAIR-NextGenerationEU	PE00000013
Grantová Agentura České Republiky	GACR—24-11373S
Ministerio de Ciencia e Innovación	PCI2022-135018-2

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10.1103/PhysRevD.110.032015

Cite this

@article{5f7b069382d3492cb0f832201bb7452c,

title = "Calibration of a soft secondary vertex tagger using proton-proton collisions at Formula Presented with the ATLAS detector",

abstract = "Several processes studied by the ATLAS experiment at the Large Hadron Collider produce low-momentum Formula Presented-flavored hadrons in the final state. This paper describes the calibration of a dedicated tagging algorithm that identifies Formula Presented-flavored hadrons outside of hadronic jets by reconstructing the soft secondary vertices originating from their decays. The calibration is based on a proton-proton collision dataset at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of Formula Presented. Scale factors used to correct the algorithm{\textquoteright}s performance in simulated events are extracted for the Formula Presented-tagging efficiency and the mistag rate of the algorithm using a data sample enriched in Formula Presented events. Several orthogonal measurement regions are defined, binned as a function of the multiplicities of soft secondary vertices and jets containing a Formula Presented-flavored hadron in the event. The mistag rate scale factors are estimated separately for events with low and high average numbers of interactions per bunch crossing. The results, which are derived from events with low missing transverse momentum, are successfully validated in a phase space characterized by high missing transverse momentum and therefore are applicable to new physics searches carried out in either phase space regime.",

author = "{ATLAS Collaboration} and Filmer, {E. K.} and Grant, {C. M.} and Green, {M. J.} and P. Jackson and Kong, {A. X.Y.} and Pandya, {H. D.} and Ruggeri, {T. A.} and S. Saha and Ting, {E. X.L.} and White, {M. J.} and Gingrich, {D. M.} and Lindon, {J. H.} and N. Nishu and Pinfold, {J. L.} and O. Cakir and Canbay, {A. C.} and {Duran Yildiz}, H. and S. Kuday and {Turk Cakir}, I. and S. Sultansoy and {Adam Bourdarios}, C. and O. Arnaez and N. Berger and L. Boudet and N. Brahimi and Castillo, {F. L.} and T. Cavaliere and F. Costanza and J. Couthures and M. Delmastro and {Di Ciaccio}, L. and T. Hryn{\textquoteright}ova and I. Koletsou and Lutz, {M. S.} and O. Kuprash and {Pascual Dominguez}, L. and Biswal, {J. P.} and H. Abramowicz and L. Barak and G. Bella and Y. Benhammou and E. Etzion and Frid, {Y. Y.} and R. Nayak and G. Ninio and D. Reikher and {Salvador Salas}, A. and A. Soffer and Tamir, {N. M.} and D. Vannicola",

note = "Publisher Copyright: {\textcopyright} 2024 CERN, for the ATLAS Collaboration.",

year = "2024",

month = aug,

day = "1",

doi = "10.1103/PhysRevD.110.032015",

language = "אנגלית",

volume = "110",

journal = "Physical Review D",

issn = "2470-0010",

publisher = "American Physical Society",

number = "3",

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T1 - Calibration of a soft secondary vertex tagger using proton-proton collisions at Formula Presented with the ATLAS detector

AU - ATLAS Collaboration

AU - Filmer, E. K.

AU - Grant, C. M.

AU - Green, M. J.

AU - Jackson, P.

AU - Kong, A. X.Y.

AU - Pandya, H. D.

AU - Ruggeri, T. A.

AU - Saha, S.

AU - Ting, E. X.L.

AU - White, M. J.

AU - Gingrich, D. M.

AU - Lindon, J. H.

AU - Nishu, N.

AU - Pinfold, J. L.

AU - Cakir, O.

AU - Canbay, A. C.

AU - Duran Yildiz, H.

AU - Kuday, S.

AU - Turk Cakir, I.

AU - Sultansoy, S.

AU - Adam Bourdarios, C.

AU - Arnaez, O.

AU - Berger, N.

AU - Boudet, L.

AU - Brahimi, N.

AU - Castillo, F. L.

AU - Cavaliere, T.

AU - Costanza, F.

AU - Couthures, J.

AU - Delmastro, M.

AU - Di Ciaccio, L.

AU - Hryn’ova, T.

AU - Koletsou, I.

AU - Lutz, M. S.

AU - Kuprash, O.

AU - Pascual Dominguez, L.

AU - Biswal, J. P.

AU - Abramowicz, H.

AU - Barak, L.

AU - Bella, G.

AU - Benhammou, Y.

AU - Etzion, E.

AU - Frid, Y. Y.

AU - Nayak, R.

AU - Ninio, G.

AU - Reikher, D.

AU - Salvador Salas, A.

AU - Soffer, A.

AU - Tamir, N. M.

AU - Vannicola, D.

PY - 2024/8/1

Y1 - 2024/8/1

N2 - Several processes studied by the ATLAS experiment at the Large Hadron Collider produce low-momentum Formula Presented-flavored hadrons in the final state. This paper describes the calibration of a dedicated tagging algorithm that identifies Formula Presented-flavored hadrons outside of hadronic jets by reconstructing the soft secondary vertices originating from their decays. The calibration is based on a proton-proton collision dataset at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of Formula Presented. Scale factors used to correct the algorithm’s performance in simulated events are extracted for the Formula Presented-tagging efficiency and the mistag rate of the algorithm using a data sample enriched in Formula Presented events. Several orthogonal measurement regions are defined, binned as a function of the multiplicities of soft secondary vertices and jets containing a Formula Presented-flavored hadron in the event. The mistag rate scale factors are estimated separately for events with low and high average numbers of interactions per bunch crossing. The results, which are derived from events with low missing transverse momentum, are successfully validated in a phase space characterized by high missing transverse momentum and therefore are applicable to new physics searches carried out in either phase space regime.

AB - Several processes studied by the ATLAS experiment at the Large Hadron Collider produce low-momentum Formula Presented-flavored hadrons in the final state. This paper describes the calibration of a dedicated tagging algorithm that identifies Formula Presented-flavored hadrons outside of hadronic jets by reconstructing the soft secondary vertices originating from their decays. The calibration is based on a proton-proton collision dataset at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of Formula Presented. Scale factors used to correct the algorithm’s performance in simulated events are extracted for the Formula Presented-tagging efficiency and the mistag rate of the algorithm using a data sample enriched in Formula Presented events. Several orthogonal measurement regions are defined, binned as a function of the multiplicities of soft secondary vertices and jets containing a Formula Presented-flavored hadron in the event. The mistag rate scale factors are estimated separately for events with low and high average numbers of interactions per bunch crossing. The results, which are derived from events with low missing transverse momentum, are successfully validated in a phase space characterized by high missing transverse momentum and therefore are applicable to new physics searches carried out in either phase space regime.

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Calibration of a soft secondary vertex tagger using proton-proton collisions at Formula Presented with the ATLAS detector

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